{"id":"W842480114","doi":"10.1371/journal.pone.0131118","title":"Prominent Vessel Sign on Susceptibility-Weighted Imaging in Acute Stroke: Prediction of Infarct Growth and Clinical Outcome","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wan Fang Hospital; Taipei Medical University","keywords":"Modified Rankin Scale; Medicine; Stroke (engine); Susceptibility weighted imaging; Infarction; Internal medicine; Magnetic resonance imaging; Stage (stratigraphy); Middle cerebral artery; Cardiology; Radiology; Ischemic stroke; Ischemia; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004467304,0.0004285267,0.000233077,0.0006127135,0.000189935,0.0002711675,0.0002061888,0.0004224768,0.000866923],"category_scores_gemma":[0.002616613,0.0001210618,0.0001521863,0.0002493247,0.00038326,0.0003176329,0.0003110417,0.000369551,0.0001660936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611695,"about_ca_system_score_gemma":0.0002359414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006539844,"about_ca_topic_score_gemma":0.0009964316,"domain_scores_codex":[0.9998555,0.00004336409,0.00001773681,0.00002130655,0.00003651963,0.00002556961],"domain_scores_gemma":[0.9986111,0.0002944175,0.0006035636,0.00004420263,0.0001235521,0.0003231666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002620881,0.00006034123,0.9965492,0.000008312415,0.00002258463,0.0001500459,0.00002172434,0.0001162257,0.00073358,0.000008071435,0.00004722356,0.002020543],"study_design_scores_gemma":[0.00001518178,0.0003779875,0.9973797,0.000005759432,0.00001923454,0.0009696517,0.00003354934,0.0008439771,0.0002597958,0.00005180775,0.0000389972,0.000004273471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996641,0.00007165552,0.00009417834,0.00001954232,0.000002926338,0.000006495672,0.00002419194,0.000002410043,0.0001145277],"genre_scores_gemma":[0.9997047,0.00003268987,0.0001287866,0.000005368326,0.000009566928,0.000004497994,0.00007416939,6.920953e-7,0.00003953559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000866923,"threshold_uncertainty_score":0.002900124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07077639738049428,"score_gpt":0.3064515396102482,"score_spread":0.2356751422297539,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}